What is fetch-tweets?

A tool for searching and summarising posts on X, formerly Twitter. It groups related posts into subtopics and ranks items by signal instead of returning a simple time-ordered list.

Use it for keyword searches, topic roundups, updates from one or more accounts, X lists, or an AI-agent news digest.

It reduces the effort of sorting through noisy posts when following a subject, account, list, or the AI-agent conversation.

fetch-tweets — Skill for Claude Code and Codex by aeonfun: A tool for searching and summarising posts on X…

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add skills/aeonfun/aeon/fetch-tweets

Any agent

npx skills add aeonfun/aeon --skill fetch-tweets

Clone the repo

git clone --depth 1 https://github.com/aeonfun/aeon

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/aeonfun/aeon/fetch-tweets.svg)](https://agentmods.dev/skills/aeonfun/aeon/fetch-tweets)

Your own site

<a href="https://agentmods.dev/skills/aeonfun/aeon/fetch-tweets"><img src="https://agentmods.dev/badge/skills/aeonfun/aeon/fetch-tweets.svg" alt="Measured on agentmods" height="20"></a>

Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 10,518 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5	$0.00047	$0.10518
Opus 5	$0.00023	$0.05259
Sonnet 5	$0.00009	$0.02104
Haiku 4.5	$0.00005	$0.01052

Measured 3d ago against content hash 6c7929ff6df3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fetch-tweets scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

**Path A — direct X.AI curl** (primary): for each topic, call Grok's `x_search`.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

fetch-tweets — 100% identical, 0 lines differ

skills/fetch-tweets/SKILL.md · 507 lines

How it starts

The opening of the file, as written. The whole thing — 507 lines — stays where its author put it; the contents beside it link to each section on GitHub.

${var} — <source>:<arg> where <source> ∈ keyword | topic | account | list | agent-buzz. The <arg> is source-specific (a query, a topic, a handle, comma-separated list IDs, or an optional focus). If no source: prefix is given, the source is inferred from the shape of <arg> (see Source selector). Required for keyword and list; optional for topic, account, and agent-buzz.

Today is ${today}. This skill fetches X/Twitter content along one of five source axes and produces a curated digest — clustered by sub-narrative, ranked by signal, one insight per item — never a flat chronological dump.

Source selector

Parse ${var} into SOURCE and ARG before doing anything else.

Explicit form (recommended): <source>:<arg>

keyword:$SOL OR solana OR "solana network" — raw X search query, passed to Grok verbatim (OR/AND honored).
topic:brain-computer interfaces — a single topic roundup. topic: (empty arg) → resolve a topic list from MEMORY.md, then built-in defaults.
account:vitalikbuterin — one account's recent tweets. account: (empty arg) → digest every handle in memory/topics/tracked-accounts.yml.
list:1953536336675365173,1937207796270829766 — one or more numeric X list IDs. Append |<topic> for a topic booster: list:195...,193...|AI agents.
agent-buzz — the curated AI-agent-ecosystem preset. agent-buzz:MCP protocol prioritizes a project/topic within the preset.

Implicit form (back-compat with migrated bare-var configs): when ${var} has no recognized source: prefix, infer SOURCE in this order:

${var} is empty → topic (default multi-topic roundup).
${var} is all-digits, or comma-separated all-digits (optionally with a |<topic> suffix) → list.
${var} is @handle or matches ^[A-Za-z0-9_]{1,15}$ (a bare handle) → account.
Anything else → keyword.

Note: agent-buzz has no distinct implicit shape (its arg looks like a keyword/topic), so it is only selectable via the explicit agent-buzz / agent-buzz:... prefix.

Once SOURCE and ARG are set, jump to the matching branch below. Only one branch runs per invocation.

Read the full file on GitHub · 507 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

3d ago First seen · 507 lines · 47 tokens per session scan A 6c7929ff6df3

Subscribe to this mod's changes

fetch-tweets is a skill published in the GitHub repository aeonfun/aeon (706 stars, last pushed 4d ago), licensed MIT. It adds 47 tokens to every session and 10,518 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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fetch-tweets